Asynchronous Interview Analysis

Authors : Pratik Satpute, Rohan Nair, Vaibhav Pathak, Priyanka Bhilare

Volume/Issue : Volume 5 - 2020, Issue 4 - April

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Conventional interviewing procedures often lack to grasp a deep understanding of their interviewees. Interviewers could fail to observe important facial features, textual tone, and body language during the interview process. The proposed system provides a thorough approach to understand how the interviewee behaves and feels during the interviewing process. A significant feature of this system is the ability to measure and quantify the big 5 traits of personality with the help of machine learning and natural language processing. Additionally, this paper presents how the amalgamation of various algorithms and approaches can help in determining the overall personality of the interviewee.

Keywords : Natural Language Processing, Machine Learn- ing, Artificial Intelligence, Sentiment Analysis, FastAI


Paper Submission Last Date
30 - April - 2024

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In 1-2 Days

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